Laura J. Trudel

3.6k citations
43 papers · 2.8k indexed · h-index 25

Laura J. Trudel

43 papers receiving 2.7k citations

Peers

Laura J. Trudel
Comparison fields: 5 of 142
  • Cancer Research 492
  • Biochemistry 187
  • Molecular Biology 1.3k
  • Bioengineering 99
  • Toxicology 46
Replace Kazumi Sasamoto with:
Kazumi Sasamoto Japan
Sang J. Chung South Korea
Carrie Sun United States
Min You United States
Hitoshi Hori Japan
Yanhua Chen China
Tongsheng Chen China
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Laura J. Trudel relative to Kazumi Sasamoto Japan Kazumi Sasamoto's profile →
Citations per field
00.5×3.1×
Kazumi Sasamoto · 1×
Citations per year

Countries citing papers authored by Laura J. Trudel

Since Specialization
Citations

This map shows the geographic impact of Laura J. Trudel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Laura J. Trudel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura J. Trudel more than expected).

Fields of papers citing papers by Laura J. Trudel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura J. Trudel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Laura J. Trudel. The network helps show where Laura J. Trudel may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Laura J. Trudel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Laura J. Trudel Line = papers co-authored together Laura J. Trudel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201414
2 2013293
3 201244
4 201224
5 20124
6 20124
7 201167
8
Apoptosis induced by capsaicin and resveratrol in colon carcinoma cells requires nitric oxide production and caspase activation.
200974
9 2009210
10 200633
11 2005398
12 200458
13 20022
14
Monoclonal antibody production in murine ascites. I. Clinical and pathologic features.
199915
15 199643
16 1995165
17 19927
18 199037
19 198963
20 198946

About Laura J. Trudel

Laura J. Trudel is a scholar working on Cancer Research, Biochemistry and Toxicology, having authored 43 papers that have together received 2.8k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (11 papers), Nitric Oxide and Endothelin Effects (8 papers), Genomics, phytochemicals, and oxidative stress (6 papers), Glutathione Transferases and Polymorphisms (5 papers), Mycotoxins in Agriculture and Food (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Sulfur Compounds in Biology (4 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (492 citations), Biochemistry (187 citations) and Molecular Biology (1.3k citations). Laura J. Trudel has collaborated with scholars based in United States, Türkiye and Taiwan. Frequent co-authors include Gerald N. Wogan, Neil S Lipman, Larry R. Jackson, Frances Weis‐Garcia, Chunqi Li, Steven R. Tannenbaum, John D. Groopman, Rajdeep Chowdhury, Min Young Kim and Paul W. Barone. Their work appears in journals such as Chemical Research in Toxicology, Proceedings of the National Academy of Sciences, Carcinogenesis, Toxicological Sciences and Blood.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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